Detection and Characterization of Gastric Cancer Using Cascade Deep Learning Model in Endoscopic Images

Endoscopy is widely applied in the examination of gastric cancer. However, extensive knowledge and experience are required, owing to the need to examine the lesion while manipulating the endoscope. Various diagnostic support techniques have been reported for this examination. In our previous study,...

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Detalles Bibliográficos
Autores principales: Teramoto, Atsushi, Shibata, Tomoyuki, Yamada, Hyuga, Hirooka, Yoshiki, Saito, Kuniaki, Fujita, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406996/
https://www.ncbi.nlm.nih.gov/pubmed/36010346
http://dx.doi.org/10.3390/diagnostics12081996

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406996/
https://www.ncbi.nlm.nih.gov/pubmed/36010346
http://dx.doi.org/10.3390/diagnostics12081996

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